DocumentCode
1149594
Title
A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets
Author
Jung, Seung-Won ; Kim, Tae-Hyun ; Ko, Sung-Jea
Author_Institution
Dept. of Electr. Eng., Korea Univ., Seoul
Volume
16
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
192
Lastpage
195
Abstract
In this letter, we present a novel image restoration algorithm to deblur the image without estimating the image blur. The proposed algorithm performs deblurring by merging differently blurred multiple images in the spectrum domain using the fuzzy projection onto convex sets (POCS). Experimental results demonstrate that the merged single image contains much less blur than the multiple blurred images.
Keywords
fuzzy set theory; image restoration; optical transfer function; fuzzy projection; image restoration; multiple image deblurring; projection onto convex sets; spectrum domain; Cameras; Deconvolution; Degradation; Frequency domain analysis; Frequency estimation; Fuzzy sets; Image reconstruction; Image restoration; Layout; Merging; Image deblurring; point spread function (PSF); projection onto convex sets (POCS);
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.2012227
Filename
4776576
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